Artificial Intelligence​/Machine Learning Developer

Unissant, Inc. delivers innovative capabilities to the agencies that keep our nation healthy and safe. We apply our domain expertise, data acumen, and technology know-how to achieve breakthrough results for our clients. Working collaboratively, we advance missions and careers through a focus on honesty, integrity, and dependability. We continuously look for talent excited to join that effort. To learn more about our exciting organization, please visit us at

We are seeking an Artificial Intelligence/Machine Learning Developer to join our team and support our federal customer.

Qualified applicants may be subject to a security investigation and must meet minimum qualifications for access to classified information. This is a highly technical position; individuals will be screened by peers in a technical review of skills and experience.

• Drive a big data approach to execute government requirements to manage, prepare, analyze, and enrich image, biometric, and related mission data to gather new insights.
• As the AI/ML Developer, work as part of a team to provide consultative, architectural, program, and engineering support for a federal customer.
• This is a client-facing position working on-site as per the requirements established by the DHS customer.
• Develop, train, evaluate, fine-tune, and deploy advanced AI/ML, computer vision, deep-learning, and GenAI models.
• Design and implement innovative AI solutions to address complex business challenges using techniques such as computer vision, image analysis, image classification, object detection, image segmentation, image matching, facial recognition, facial verification, biometric analysis, natural language processing, and large language models.
• Prepare image, biometric, and related datasets for model development, including data extraction, cleaning, normalization, annotation, labeling, augmentation, feature engineering, data balancing, and training/validation/test-set construction.
• Develop, train, evaluate, and improve image-analysis and computer-vision models used for biometric, identity-resolution, image-quality, matching, classification, detection, segmentation, or related mission capabilities.
• Optimize model performance, ensuring accuracy, efficiency, scalability, bias awareness, and operational reliability.
• Evaluate model performance using appropriate measures, including precision, recall, F1 score, confusion matrices, ROC-AUC, mean average precision, false-match rates, false-non-match rates, false acceptance rates, false rejection rates, latency, throughput, and related performance metrics.
• Develop and maintain user-friendly AI applications and interfaces, including image-analysis tools, analytic dashboards, chatbots, virtual assistants, and generative content tools.
• Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows.
• Stay up to date with the latest advancements in AI/ML and emerging technologies, such as computer vision, biometrics, generative AI, reinforcement learning, and secure AI deployment.
• Conduct research and experiments to explore new AI techniques and applications, including image-model training, computer-vision model evaluation, prompt engineering, advanced RAG, image retrieval, multimodal models, and fine-tuning LLMs.
• Ensure compliance with data privacy, biometric-data handling, security, and governance requirements, especially when working with sensitive data, images, biometric information, and generative-AI outputs.
• This role will be responsible for briefing the benefits and constraints of technology solutions to technology partners, stakeholders, team members, and senior levels of management.

• Three (3) or more years of experience in the Information Technology field focusing on AI/ML engineering projects, computer vision, image analysis, biometric technologies, MLOps, Dev Sec Ops , and technical architecture.
• Demonstrated hands-on experience developing, training, fine-tuning, evaluating, or deploying computer-vision, image-analysis, deep-learning, or biometric AI/ML models.
• Experience working with image-analysis use cases such as image classification, object detection, image segmentation, image matching, face detection, facial recognition, facial verification, image quality assessment, liveness detection, identity verification, fingerprint analysis, iris recognition, or related technologies.
• Familiarity with biometric systems, biometric matching, identity…